Cotiviti→
Intern - Generative AI Developer (available now) at Cotiviti in Remote
InternshipRemoteFull-timeRemote$67k–$83k/yr
Skills
generative aimachine learningdeep learningcloud servicesdata pipelinescollaborationcommunication
Job Description
Summary: Cotiviti is focused on advancing healthcare informatics, particularly through Generative AI and emerging technologies. The Generative AI Developer Intern will research and develop solutions to improve healthcare treatment, payment, and operations, while collaborating with various teams on AI-related projects.
Responsibilities:
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI
- Assists in developing and improving LLMs and ML tools used across the organization
- Assists in establishing and maintaining an Artificial Intelligence Governance Program
- Gain hands-on experience in generative AI model development, architecture design, and database management
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs
- Supports vendor evaluations and contributes to collaborations with vendors
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills
- Complete all responsibilities and goals outlined in the internship program
- Complete all special projects and other duties as assigned
- Must be able to perform duties with or without reasonable accommodation
Required Qualifications:
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI
- Assists in developing and improving LLMs and ML tools used across the organization
- Assists in establishing and maintaining an Artificial Intelligence Governance Program
- Gain hands-on experience in generative AI model development, architecture design, and database management
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs
- Supports vendor evaluations and contributes to collaborations with vendors
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills
- Complete all responsibilities and goals outlined in the internship program
- Complete all special projects and other duties as assigned
- Must be able to perform duties with or without reasonable accommodation
- Demonstrated interest or experience in AI, healthcare technology, or informatics research
- Strong foundational knowledge in generative AI model development, architectures, and vector databases
- Ability to work collaboratively and communicate effectively with cross-functional teams
- Communicating with others to exchange information
- Assessing the accuracy, neatness, and thoroughness of the work assigned
- Remaining in a stationary position, often standing or sitting for prolonged periods
- Repeating motions that may include the wrists, hands, and/or fingers
- Must be able to provide a dedicated, secure work area
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance
- No adverse environmental conditions are expected
Preferred Qualifications:
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus
Required Skills: Generative AI, Machine Learning, Deep Learning
Important Skills: Cloud Services, Data Pipelines
Nice-to-Have Skills: Collaboration, Communication